Triple
T12613207
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Good Earth |
E301180
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
O-Lan
O-Lan is a stoic, long-suffering peasant woman whose strength, resilience, and quiet sacrifice are central to Pearl S. Buck’s novel "The Good Earth."
|
E993142
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: O-Lan | Statement: [The Good Earth, mainCharacter, O-Lan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: O-Lan Context triple: [The Good Earth, mainCharacter, O-Lan]
-
A.
Paihuano
Paihuano is a small town and commune in Chile’s Elqui Valley, known for its clear skies, pisco production, and astrotourism.
-
B.
Hsiu-chu
Hsiu-chu is a feminine given name of Chinese origin, notably borne by Taiwanese politician Hung Hsiu-chu.
-
C.
Yuanlin
Yuanlin is a township-level city in Changhua County, central Taiwan, known as a regional commercial and transportation hub.
-
D.
Xinyi
Xinyi is a county-level city administered by Xuzhou in Jiangsu Province, eastern China.
-
E.
Fongshan
Fongshan is a district in Kaohsiung, Taiwan, known for its historical military sites and role as a former administrative center.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: O-Lan Triple: [The Good Earth, mainCharacter, O-Lan]
Generated description
O-Lan is a stoic, long-suffering peasant woman whose strength, resilience, and quiet sacrifice are central to Pearl S. Buck’s novel "The Good Earth."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: O-Lan Target entity description: O-Lan is a stoic, long-suffering peasant woman whose strength, resilience, and quiet sacrifice are central to Pearl S. Buck’s novel "The Good Earth."
-
A.
Paihuano
Paihuano is a small town and commune in Chile’s Elqui Valley, known for its clear skies, pisco production, and astrotourism.
-
B.
Hsiu-chu
Hsiu-chu is a feminine given name of Chinese origin, notably borne by Taiwanese politician Hung Hsiu-chu.
-
C.
Yuanlin
Yuanlin is a township-level city in Changhua County, central Taiwan, known as a regional commercial and transportation hub.
-
D.
Xinyi
Xinyi is a county-level city administered by Xuzhou in Jiangsu Province, eastern China.
-
E.
Fongshan
Fongshan is a district in Kaohsiung, Taiwan, known for its historical military sites and role as a former administrative center.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d7bdeaf49c8190b13800111fa77ea3 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d960c2e5b88190a7cc16002b218d8a |
completed | April 10, 2026, 8:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65ed1044c8190bbe881d32a4bf29e |
completed | May 2, 2026, 8:30 p.m. |
| NEDg | Description generation | batch_69f6617479ec819080eac67abc9bc435 |
completed | May 2, 2026, 8:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f662695a348190b9911a19dfc9e779 |
completed | May 2, 2026, 8:45 p.m. |
Created at: April 9, 2026, 5:12 p.m.